{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "8bcd1a3d-7c50-4f58-be4e-1ed654aa33be",
   "metadata": {},
   "source": [
    "# Visualization\n",
    "\n",
    "This notebook walks through how to visualize the graphs you create. For this example we will use a prebuilt graph, but this works with ANY graphs."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e130cf70-a30e-47d7-8fd5-464f1a92e374",
   "metadata": {},
   "source": [
    "## Set up the chat model and tools\n",
    "\n",
    "Here we will define the chat model and tools that we want to use.\n",
    "Importantly, this model MUST support OpenAI function calling."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "efb7e3c0-c63f-40f6-93ce-19681d650fc2",
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain_openai import ChatOpenAI\n",
    "from langchain_community.tools.tavily_search import TavilySearchResults\n",
    "from langgraph.prebuilt import chat_agent_executor\n",
    "from langchain_core.messages import HumanMessage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "a7025f33-3160-41cf-868b-17ebc916fb1d",
   "metadata": {},
   "outputs": [],
   "source": [
    "tools = [TavilySearchResults(max_results=1)]\n",
    "model = ChatOpenAI()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "43064805-2ac9-4b5a-850c-a68dd7282350",
   "metadata": {},
   "source": [
    "## Create executor\n",
    "\n",
    "We can now use the high level interface to create the executor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "32b4ae66-f667-4a8b-a602-503fd0effcd9",
   "metadata": {},
   "outputs": [],
   "source": [
    "app = chat_agent_executor.create_function_calling_executor(model, tools)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f4fc9378-b141-4b65-b86c-3afba77f7161",
   "metadata": {},
   "source": [
    "## Ascii\n",
    "\n",
    "We can easily visualize this graph in ascii"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "ca9b980d-1f0a-4286-9157-a870e3d55134",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                    +-----------+             \n",
      "                    | __start__ |             \n",
      "                    +-----------+             \n",
      "                          *                   \n",
      "                          *                   \n",
      "                          *                   \n",
      "                      +-------+               \n",
      "                      | agent |               \n",
      "                     *+-------+*              \n",
      "                   **           ***           \n",
      "                 **                **         \n",
      "               **                    **       \n",
      "+-----------------------+              **     \n",
      "| agent_should_continue |               *     \n",
      "+-----------------------+               *     \n",
      "            *           *****           *     \n",
      "            *                ****       *     \n",
      "            *                    ***    *     \n",
      "       +---------+                +--------+  \n",
      "       | __end__ |                | action |  \n",
      "       +---------+                +--------+  \n"
     ]
    }
   ],
   "source": [
    "app.get_graph().print_ascii()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "324d40ed-b665-4416-88f1-5df161546cd9",
   "metadata": {},
   "source": [
    "## PNG\n",
    "\n",
    "We can also visualize this as a `.png`\n",
    "\n",
    "Note that this requires having graphviz installed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d4234400-75cd-4b13-aeff-828f7fb68ab1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# !pip install pygraphviz "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "ea909e33-6a72-4d9f-87bf-faab9ab578f1",
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython.display import Image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "ee026342-f560-4ce0-ab43-1718bd19a366",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image(app.get_graph().draw_png())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e1b51a2b-128e-4925-94b6-311370be3718",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
